Intrinsic Images and their Applications in Intelligent Systems

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Intrinsic Images and their Applications in Intelligent Systems

Nestmeyer, Thomas Michael
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Description: Dissertation als PDF
URI: http://hdl.handle.net/10900/120817
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-1208171
http://dx.doi.org/10.15496/publikation-62187
http://nbn-resolving.org/urn:nbn:de:bsz:21-dspace-1208171
http://nbn-resolving.org/urn:nbn:de:bsz:21-dspace-1208174
Dokumentart: PhDThesis
Date: 2021-11-16
Language: English
Faculty: 7 Mathematisch-Naturwissenschaftliche Fakultät
Department: Informatik
Advisor: Lensch, Hendrik P. A. (Prof. Dr.)
Day of Oral Examination: 2021-10-08
DDC Classifikation: 004 - Data processing and computer science
Keywords: Maschinelles Sehen , Maschinelles Lernen
Other Keywords:
Intrinsic Images
License: http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en
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Abstract:

The overall goal of the thesis is to research intelligent systems and to provide one more innovative piece in the puzzle towards general artificial intelligence. Because one quickly realizes the importance of computer vision for this endeavor, and in there specifically the need to understand the 3D world through their 2D projections into images, we thoroughly investigate the field of intrinsic images in this thesis and improve the intrinsic decomposition of arbitrary images to enable smarter intelligent systems. We demonstrate the utilization of such a decomposition in the task of relighting, where the intrinsic structure is shown to improve results.

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